Sachin Rajendra

Founder

Bengaluru, Karnataka, India11 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Founder of VC-backed FlyFin AI.
Led a team at LinkedIn to enhance user engagement.
Developed a successful social arcade game.

Stackforce AI infers this person is a Fintech and Gaming professional with strong expertise in AI and machine learning.

Contact

Skills

Core Skills

Machine LearningData ScienceComputer VisionGame Development

Other Skills

Natural Language ProcessingRecommendation SystemsSearchStatistical ModellingDistributed SystemsAndroidProgrammingNetwork Embedded SystemsData Transfer ProtocolsData AnalysisSignal ProcessingAdobe AIRMicrotransaction ModuleActionScriptAlgorithms

About

With over eight years of experience in the tech industry, I am a passionate and innovative founder, machine learning engineer, and computer science graduate. I am driven by the vision of automating the financial lives of people, using cutting-edge AI technologies and user-centric design. I founded FlyFin AI, a VC-backed consumer startup that leverages ML, CV, NLP, and DS to create personalized and intelligent financial solutions. I believe in creating a culture of collaboration, experimentation, and learning, and I value diversity, inclusion, and social impact. Before founding FlyFin AI, I was a senior machine learning engineer at LinkedIn, where I worked on various problems related to computer vision, recommendation systems, search, statistical modelling, and distributed systems. I led a team of 10 people to produce significant business impact, such as improving user engagement, retention, and revenue. I used my skills in Voldemort, PHP, and programming to develop scalable and robust solutions that enhanced the LinkedIn platform and experience. I also co-founded PaxPlay, a social arcade game for Android, where I was the lead programmer and designed the gameplay, objectives, and leaderboard. The game reached over 80,000 users in more than 20 countries and received an average rating of 4.6/5.

Experience

11 yrs 8 mos

Total Experience

3 yrs 10 mos

Average Tenure

6 yrs 4 mos

Current Experience

Flyfin ai

Founder

Jan 2020 – Present · 6 yrs 4 mos · San Francisco Bay Area

VC backed consumer startup focused on automating the financial lives of us humans

Machine LearningComputer VisionNatural Language ProcessingData Science

Senior Machine Learning Engineer

Jun 2014 – Nov 2018 · 4 yrs 5 mos · Bangalore, Bay Area

Worked on Computer Vision, Recommendation Systems, Search, Statistical Modelling, NLP and Distributed Systems problems. Led a team of 10 people to produce significant business impact.

Computer VisionRecommendation SystemsSearchStatistical ModellingDistributed SystemsMachine Learning

Sics

Visiting Student Researcher

May 2013 – Jul 2013 · 2 mos · Stockholm, Sweden

In SICS I worked in the area of network embedded systems, specifically in the area of Structural Health Monitoring and Localisation.
Structural Health Monitoring of Railway Bridges:
Designed and implemented a reliable sampling and data-transfer protocol on top of Glossy protocol
The protocol enabled synchronization and joining of nodes and transferred control to the sink node
Localization in Industrial Environments:
Made an application that collected accelerometer data from a phone and calculated displacement
Increased accuracy in accelerometer signal using filters to keep the calculated displacement reliable
for higher amount of time

Network Embedded SystemsData Transfer Protocols

Paxplay

Lead Programmer, Co-Founder

Jan 2013 – Dec 2013 · 11 mos · Mumbai Area, India

Developed a Social Arcade game for Android.
Led a team of 5 in design and implementation of gameplay, objectives and leaderboard.
The game currently has an outreach of 80,000 users in over 20 countries with and average rating of 4.6/5

AndroidGame DevelopmentProgramming

Electronic arts

Software Engineering Intern

May 2012 – Jul 2012 · 2 mos · Hyderabad, India

Developed an Adobe AIR Native Extension for Microtransaction module of EA’s mobile Game Engine
The extension made it possible to access the module’s functions from ActionScript code
Used the extension in a flash based application with in app purchases for demo
The project enabled the porting of EA’s paid internet games to mobile platform

Adobe AIRMicrotransaction ModuleActionScript